Feature extraction using convolution
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In the previous exercises, you worked through problems which involved images that were relatively low in resolution, such as small image patches and small images of hand-written digits. In this section, we will develop methods which will allow us to scale up these methods to more realistic datasets that have larger images. | In the previous exercises, you worked through problems which involved images that were relatively low in resolution, such as small image patches and small images of hand-written digits. In this section, we will develop methods which will allow us to scale up these methods to more realistic datasets that have larger images. | ||
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+ | 【初译】概述 | ||
+ | 在之前的练习里,相信你练习了如何解决与低分辨率图像有关的问题,这里低分辨率图像包括如:小块的图像(存储尺寸比较小),手写数字组成的小块图像,等等。在这部分中,我们将把已知的方法扩展到实际应用中更加常见的数据集:那些更大的图像中去。 | ||
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+ | 【一审】概述 | ||
+ | 前面的练习中,解决了一些有关低分辨率图像的问题,比如:小块图像,手写数字小幅图像等。在这部分中,我们将把已知的方法扩展到实际应用中更加常见的大图像数据集。 | ||
== Fully Connected Networks == | == Fully Connected Networks == |